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20162026
most citedPre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

519 citations · 2.6k across the 154 of their papers we have counts for

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Showing 2022Show all

39 papers · 1 filter

cs.CL2022★ 1 cited

Searching for Effective Multilingual Fine-Tuning Methods: A Case Study in Summarization

Yiwei Qin, Graham Neubig, Pengfei Liu

Recently, a large number of tuning strategies have been proposed to adapt pre-trained language models to downstream tasks. In this paper, we perform an extensive empirical evaluati…

cs.CL2022★ 2 cited

T5Score: Discriminative Fine-tuning of Generative Evaluation Metrics

Yiwei Qin, Weizhe Yuan, Graham Neubig +1

Modern embedding-based metrics for evaluation of generated text generally fall into one of two paradigms: discriminative metrics that are trained to directly predict which outputs…

cs.CL2022★ 1 cited

Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer

Zhengbao Jiang, Luyu Gao, Jun Araki +4

Systems for knowledge-intensive tasks such as open-domain question answering (QA) usually consist of two stages: efficient retrieval of relevant documents from a large corpus and d…

cs.CL2022

Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval

John Wieting, Jonathan H. Clark, William W. Cohen +2

Contrastive learning has been successfully used for retrieval of semantically aligned sentences, but it often requires large batch sizes or careful engineering to work well. In thi…

cs.SE2022★ 2 cited

Execution-Based Evaluation for Open-Domain Code Generation

Zhiruo Wang, Shuyan Zhou, Daniel Fried +1

To extend the scope of coding queries to more realistic settings, we propose ODEX, the first Open-Domain EXecution-based natural language (NL) to Python code generation dataset. OD…

cs.CL2022★ 9 cited

NusaCrowd: Open Source Initiative for Indonesian NLP Resources

Samuel Cahyawijaya, Holy Lovenia, Alham Fikri Aji +44

We present NusaCrowd, a collaborative initiative to collect and unify existing resources for Indonesian languages, including opening access to previously non-public resources. Thro…